Base Salary
$441k - $500k/yr
Responsibilities
- Set technical direction and personally design, build, and ship critical components across ChatGPT Work surfaces, services, plugins, and connectors.
- Translate ambiguous customer and design-partner needs into product and technical strategy with milestones, architecture decisions, and measurable quality and adoption goals.
- Lead initiatives across Design, Research, GTM, Security, and platform teams while aligning senior stakeholders and driving decisions through implementation.
- Architect production-grade systems and establish evaluation, instrumentation, security, reliability, staged-rollout, and rollback standards for probabilistic AI experiences.
- Own the full lifecycle from problem definition and prototyping through production implementation, launch, customer feedback, and sustained iteration.
- Define technical contracts and fallback strategies across connectors, identity, permissions, enterprise data, model routing, and shared platform dependencies.
- Raise engineering standards through architecture reviews, mentorship, and reusable patterns.
Requirements
- Typically 10+ years of experience building production software as a deeply experienced, hands-on product engineer.
- Ability to architect and implement sophisticated systems across frontend, backend, APIs, data, distributed services, and enterprise integrations.
- Experience personally building and operating full-stack production products using technologies such as React, TypeScript, Python, Go, or Node.js.
- Track record of setting technical direction for complex, integration-heavy or distributed systems involving APIs, data models, enterprise identity, authorization, secure data flows, and partial-failure behavior.
- Experience owning business-critical production systems at scale, including architecture, performance, observability, testing, incident response, migrations, staged delivery, and operational excellence.
- Experience shipping applied AI, agentic, or conversational products and understanding model behavior, tool use, grounding, evaluations, human feedback, and probabilistic-system reliability.
- Experience designing and building workflow, data, analytics, visualization, or insight products for enterprise users.
- Strong record of leading through technical judgment, mentoring experienced engineers, shaping cross-team architecture, and connecting engineering decisions to customer outcomes.
Tech Stack
Categories
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. AI is an extremely powerful tool that must be created with safety and human needs at its core. OpenAI is dedicated to putting that alignment of interests first — ahead of profit. To achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. Our investment in diversity, equity, and inclusion is ongoing, executed through a wide range of initiatives, and championed and supported by leadership. At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.